Package qupath.opencv.ml

Class FeaturePreprocessor.Builder

java.lang.Object

qupath.opencv.ml.FeaturePreprocessor.Builder

Enclosing class:

FeaturePreprocessor

public static class FeaturePreprocessor.Builder
extends Object

Builder to create a custom FeaturePreprocessor.

Method Summary

Modifier and Type	Method	Description
FeaturePreprocessor	build(Mat trainingData, boolean applyToTraining)	Build a FeaturePreprocessor.
FeaturePreprocessor.Builder	missingValue(double missingValue)
FeaturePreprocessor.Builder	normalize(Normalization normalization)	Define normalization type.
FeaturePreprocessor.Builder	pca(double retainedVariance, boolean pcaNormalize)	Perform PCA to reduce features.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

normalize

public FeaturePreprocessor.Builder normalize(Normalization normalization)

Define normalization type.

Parameters:

normalization -

Returns:

this builder

missingValue

public FeaturePreprocessor.Builder missingValue(double missingValue)

Parameters:

missingValue -

Returns:

this builder

pca

public FeaturePreprocessor.Builder pca(double retainedVariance,
 boolean pcaNormalize)

Perform PCA to reduce features.

Parameters:

retainedVariance - retained variance, used to determine how many features to keep

pcaNormalize - if true, normalize the projected features

Returns:

this builder

build

public FeaturePreprocessor build(Mat trainingData,
 boolean applyToTraining)

Build a FeaturePreprocessor. The training data is expected to contain samples as rows and features as columns.

Parameters:

trainingData -

applyToTraining -

Returns: